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On empirical bayes sequential estimation
Authors:R J Karunamuni
Institution:Department of Statistics and Applied Probability , University of Alberta , Edmonton, Alberta, Canada
Abstract:We study the empirical Bayes approach to the sequential estimation problem. An empirical Bayes sequential decision procedure, which consists of a stopping rule and a terminal decision rule, is constructed for use in the component. Asymptotic behaviors of the empirical Bayes risk and the empirical Bayes stopping times are investigated as the number of components increase.
Keywords:Empirical Bayes estimation  squared error loss  sequential component  asymptotic optimality  asymptotic efficiency
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